在威胁处理过程中,人类大脑的动态和时空轨迹
Joyneel Misra1, Luiz Pessoa1,2,3
1Department of Electrical and Computer Engineering, University of Maryland, College Park, United States.
eLife
|January 29, 2026
概括
这项研究使用切换线性动态系统 (SLDS) 来揭示大脑.
科学领域:
- 系统神经科学 系统神经科学
- 认知神经科学 认知神经科学
- 神经成像分析分析 神经成像分析
背景情况:
- 传统的功能性MRI (fMRI) 研究使用静态设计,限制了对动态大脑过程的理解.
- 现有的威胁处理研究受到时间动态受限的范式的限制.
- 了解大脑对威胁的动态反应对于心理健康研究至关重要.
研究的目的:
- 应用交换线性动态系统 (SLDS) 来分析在威胁处理过程中的大脑动态.
- 描述影响威胁反应神经动态的内部和外部因素.
- 开发超越传统方法分析复杂的fMRI数据的新方法.
主要方法:
- 在fMRI数据上使用开关线性动态系统 (SLDS) 来自连续冲击威胁范式.
- 纳入内源和外源因素来建模神经系统动态.
- 开发了一个区域重要性指标来量化个体大脑区域对动态的贡献.
主要成果:
- SLDS模型成功地捕获了实验范式规律,反映了威胁的近距离和方向.
- 识别了威胁处理中的动态多变量模式,由内在和外部因素驱动.
- 证明了SLDS模型的成功泛化,以分离威胁处理实验.
结论:
- 通过动态系统查看威胁处理为神经动态提供了新的见解.
- SLDS提供了一个强大的框架,用于发现静态设计遗漏的大脑功能时间性质.
- 这种方法提升了我们对大脑如何动态地管理与威胁相关的信息的理解.
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